LinkedIn Company Posts Scraper: No Login, No Cookies

From The Mine Works, makers of Threads Scraper and B2B Leads Finder, with over 140,000 runs across 170+ public actors.

Why choose this actor?

• Up to 70 recent posts per company, the most LinkedIn shows a logged-out visitor. Our proof run collected 420 posts from 6 company pages in 45 seconds: 70 each from Stripe, OpenAI, NVIDIA, HubSpot, Zomato and the Microsoft for Healthcare showcase page, reaching back 11 months on Zomato. No LinkedIn account, no li_at cookie, no browser.
• Exact counts and the full text, not a search snippet. Every row carries the reaction and comment counts LinkedIn prints on the post (331,962 reactions across the 420 proof posts), the whole text with its line breaks, the publish time decoded from LinkedIn's own post id, the media (images, the MP4 of a native video, document carousels, link cards), links, hashtags, tagged companies and people, and the company's follower count.
• You pay only for posts you receive. One charge per post row saved to your dataset, plus a flat start fee per run. Company pages that do not exist (our proof run included one, reported as not found), pages LinkedIn refuses, reposts you switch off, posts older than your date window and posts an earlier run already gave you (when you switch that on) are never charged.

Part of The Mine Works LinkedIn family: LinkedIn Company Scraper, LinkedIn Post Scraper, LinkedIn Employees Scraper, LinkedIn Profile Scraper, LinkedIn Email Finder, LinkedIn Newsletter Scraper.

Try it in one minute

Paste this input and press Start. It returns the 10 newest posts of Stripe and of OpenAI, 20 rows, in about 5 seconds:

{
  "companies": ["https://www.linkedin.com/company/stripe/", "openai"],
  "maxPostsPerCompany": 10
}

You can name a company in three ways, and mix them in one list:

• Company page link: https://www.linkedin.com/company/stripe/, from any country subdomain (https://in.linkedin.com/company/nvidia/) and with any sub page or parameters (/posts/?feedView=all, /about/).
• Showcase page link: https://www.linkedin.com/showcase/microsoft-health/, the product and brand pages many large companies run under their main page.
• Vanity name: stripe, the word after /company/ in the page link.

Numeric company ids (/company/1035/) are refused with a clear message, because LinkedIn sends a logged-out visitor who opens them to its sign-in page. Use the vanity name instead.

Apify's free plan includes $5 of credit every month, which covers about 2,700 results at this actor's price.

Copy to your AI assistant

themineworks/linkedin-company-posts-scraper on Apify. Returns the recent posts of LinkedIn company pages read logged out, one row per post with the full text, publish time, reaction and comment counts, media type and media links (images, video MP4, document carousel, link card), links, hashtags, mentions, repost flag and quoted post, plus the company's name, id and follower count on every row. Call ApifyClient("TOKEN").actor("themineworks/linkedin-company-posts-scraper").call(run_input={"companies": ["https://www.linkedin.com/company/stripe/", "openai"], "maxPostsPerCompany": 20}), then client.dataset(run["defaultDatasetId"]).list_items().items. Required: companies (LinkedIn company or showcase page links, or vanity names). Optional: maxPostsPerCompany (default 20, 10 to 70), postedWithinDays (default none), includeReposts (default true), onlyNewPosts (default false). Skip rows that have "_type": "info". Full spec: GET https://api.apify.com/v2/acts/themineworks~linkedin-company-posts-scraper/builds/default (Bearer TOKEN), which returns inputSchema and readme. Token: https://console.apify.com/account/integrations?fpr=ymnoit&utm_source=apify-readme&utm_medium=referral

Key features

• 40 fields per post: the company's name, page link, numeric id and follower count; the post link, activity urn, activity id and share urn; its position on the feed; the author's name, link, type and headline; repost flag; full text; time label, publish time, feed time and repost time; edited flag; reaction and comment counts; media type with image links, video MP4 and poster, document title, page count and cover, link card title and destination; links, hashtags, mentions and the quoted post.
• Up to 70 posts per company. The company page shows its 10 newest feed items; the actor then asks for the next pages the same way LinkedIn's own page does when a visitor scrolls, 10 items at a time, up to the 70 or so LinkedIn serves logged-out visitors.
• Up to 500 company pages per run, three read side by side, each with its own status in the run summary. Company pages and showcase pages both work.
• Date window: postedWithinDays: 7 keeps only what the company published or reposted in the last 7 days, and stops reading a company as soon as its feed goes past that date, so a weekly run stays short and cheap.
• Reposts on or off: company pages often repost their staff and partners (67 of the 420 proof posts were reposts). Turn includeReposts off to keep only what the company published itself; skipped reposts are not charged.
• Only new posts on repeat runs: switch on onlyNewPosts for a schedule and each run returns, and charges, only posts no earlier run in your account delivered. In our test the second run delivered 0 posts and stopped after one request.

How to use it

Basic: the latest posts of one company

{
  "companies": ["https://www.linkedin.com/company/hubspot/"],
  "maxPostsPerCompany": 70
}

You get up to 70 rows, newest first, each with HubSpot's name, id and follower count copied on. In our proof run HubSpot's 70 posts reached back to 29 April 2026.

Several companies at once

{
  "companies": [
    "https://www.linkedin.com/company/stripe/",
    "openai",
    "https://in.linkedin.com/company/nvidia/posts/?feedView=all",
    "https://www.linkedin.com/showcase/microsoft-health/",
    "zomato"
  ],
  "maxPostsPerCompany": 30
}

Repeats are read once, so stripe and https://www.linkedin.com/company/stripe/ in the same list cost one company, not two. A line that is not a company page (a personal profile, a school page, a numeric id) is skipped with a warning that says why, and the rest of the list still runs.

Weekly competitor content report

Track what the companies you watch published in the last week, without the posts they merely reposted:

{
  "companies": ["openai", "anthropicresearch", "nvidia", "microsoft"],
  "maxPostsPerCompany": 70,
  "postedWithinDays": 7,
  "includeReposts": false
}

Each company is read only until its feed goes past the 7 day line, so a quiet company costs one request. In our 10 day test on Microsoft and Infosys, Infosys gave 11 of its own posts after 3 requests, and Microsoft gave none (its last 10 days were all reposts) after reading its page once. Schedule it weekly in Apify Console (Schedules, then Add schedule) and send the dataset to Google Sheets to see who posts how often, which formats they use (media_type) and what gets reactions.

Daily new post alerts

{
  "companies": ["openai", "anthropicresearch", "nvidia"],
  "maxPostsPerCompany": 20,
  "onlyNewPosts": true
}

Run it every morning. The first run returns the latest 20 per company; later runs return only posts that appeared since, and stop reading a company as soon as they reach a post an earlier run delivered. Pair it with a Slack or email integration on the run's dataset so new posts reach your team.

Engagement benchmark across an industry

{
  "companies": ["zomato", "infosys", "hubspot", "stripe", "nvidia"],
  "maxPostsPerCompany": 70
}

Divide reactions_count and comments_count by company_followers (on every row) to compare engagement per follower across brands of very different size (from 59,982 followers for the Microsoft for Healthcare showcase page to 11.8 million for OpenAI in our proof run), and split by media_type to see whether video, documents or images work best in that market.

Feed a sales or partnership pipeline

Posts often name the partners and customers a company works with. The mentions field lists every company, person and school tagged in a post, with its LinkedIn link, so a run over your target accounts shows who they are announcing deals with. Our proof run found tagged pages in 191 of 420 posts.

Input parameters

Parameter	Type	Default	What it does
companies	array of strings	["https://www.linkedin.com/company/stripe/", "openai"]	Company page links, showcase page links or vanity names, one per line. Up to 500 per run; repeats are read once. Required.
maxPostsPerCompany	integer	20	How many of each company's most recent posts to collect, 10 to 70. LinkedIn shows a logged-out visitor about 70 items per company page.
postedWithinDays	integer	none	Only posts published or reposted in the last N days (1 to 3,650). Reading a company stops once its feed passes that date.
includeReposts	boolean	true	Untick to keep only posts the company published itself. Skipped reposts are not charged.
onlyNewPosts	boolean	false	Skip posts an earlier run of yours already delivered, so a scheduled run returns and charges only new ones.

There is no proxy setting: the actor always reads through Apify's datacenter proxy, which is included in the price.

What data do you get?

One row per post. In the proof run every field below that applies to a post was filled: of 420 posts, 208 had a native video, 93 images, 62 a document carousel, 36 a link card and 21 text only.

The company (same on every row of that company)

• company_name, company_url (canonical company or showcase page link), company_id (LinkedIn's numeric organization id), company_followers (as the page showed it during the run).

The post

• post_url: public link to the post (the /posts/ link LinkedIn gives, or /feed/update/urn:li:activity:<id>/).
• activity_urn, activity_id: LinkedIn's id of the feed item; use activity_id to dedupe.
• share_urn: LinkedIn's id of the shared content (urn:li:share: or urn:li:ugcPost:).
• position: place on the company feed, 1 is the newest.
• text: the full post text with its line breaks.
• is_edited: LinkedIn marks the post as edited.

Time

• posted_ago: the label LinkedIn shows, such as 5h, 4d, 1w, 2mo.
• posted_at: when the post was published, ISO 8601 to the second, decoded from LinkedIn's own post id. For the company's own posts this matched, to the second, the publish time LinkedIn itself states for the post in all 3 posts we checked. For reposts it is the original post's time when LinkedIn gives that post's id, otherwise the time of the shared content's id.
• activity_at: when the item appeared on the company feed (published or reposted). The feed is sorted by this time; postedWithinDays uses it.
• reposted_at: on reposts only, when the company reposted it.

Author and reposts

• author_name, author_url, author_type (company, showcase, person or school), author_subtitle (a person's headline, or a page's follower line; empty when LinkedIn shows none).
• is_repost: true when the company reposted someone else's post (including posts LinkedIn shows on the company feed without the "reposted this" line, which we detect because the author is not the company).
• reshared_post: when the post quotes another post, that post's author_name, author_url, text, post_url, activity_id, posted_ago and posted_at.

Engagement

• reactions_count: all reactions (like, celebrate, support and the rest), the exact number LinkedIn puts in the page.
• comments_count: exact number of comments.
• Both are 0 when LinkedIn shows no reactions or comments. LinkedIn does not show repost counts to logged-out visitors, so there is no repost count.

Media

• media_type: none, image, video, document or article (a link card).
• image_urls: every image in the post.
• video_url (the highest quality MP4 LinkedIn offers) and video_thumbnail_url.
• document_title, document_pages, document_manifest_url, document_cover_url for PDF carousels.
• article_url, article_title, article_subtitle, article_image_url for link cards and LinkedIn articles.

Links, hashtags, mentions

• links: links in the text and the link card destination, as LinkedIn shows them (often lnkd.in short links), with LinkedIn's tracking parameter removed.
• hashtags: without the #, in the order they appear.
• mentions: tagged companies, people, schools and showcase pages, each with name, url and type.

Run fields

• input: the line of your input the row came from, and scraped_at.

Media links are LinkedIn's own signed CDN links. Save the files you need soon after the run, as LinkedIn may rotate them.

Stable fields for automations

These fields were present in every one of the 420 rows of the proof run:

Field	What it holds
company_name	Company or showcase page name
company_url	Canonical page link
company_id	LinkedIn numeric organization id
company_followers	Follower count at run time
post_url	Public link to the post
activity_id	LinkedIn id of the feed item, unique per company
position	Place on the feed, 1 is newest
author_name	Who wrote the post shown
is_repost	Reposted rather than published by the company
text	Full post text
posted_at	Publish time, ISO 8601
activity_at	Time it appeared on the company feed
reactions_count	Exact reaction count
comments_count	Exact comment count
media_type	none, image, video, document or article

These names will not change. New fields may be added; existing ones keep their name and meaning.

Output examples

Four real rows from the proof run, with a few long links and the run fields left out.

Own image post with a hashtag (Zomato)

{
  "company_name": "Zomato",
  "company_url": "https://www.linkedin.com/company/zomato/",
  "company_id": "422813",
  "company_followers": 2079976,
  "post_url": "https://www.linkedin.com/posts/zomato_globalaccessibilityawarenessday-activity-7463105042909143040-xCV3",
  "activity_id": "7463105042909143040",
  "position": 29,
  "author_name": "Zomato",
  "author_url": "https://www.linkedin.com/company/zomato",
  "author_type": "company",
  "author_subtitle": "2,079,976 followers",
  "is_repost": false,
  "text": "Here's to delivery partners with disabilities and to every one of you who helps make delivery a little more accessible and inclusive, this #GlobalAccessibilityAwarenessDay ❤️",
  "posted_ago": "4mo",
  "posted_at": "2026-05-21T05:55:00Z",
  "activity_at": "2026-05-21T05:55:00Z",
  "is_edited": false,
  "reactions_count": 253,
  "comments_count": 75,
  "media_type": "image",
  "image_urls": [
    "https://media.licdn.com/dms/image/v2/D5622AQGA19Uwa3tWww/feedshare-shrink_800/B56Z5JGbdfIYAc-/0/1779342883620?e=2147483647&v=beta&t=orIQNeD5evrcBeqJV-6IRQPkg4k30CRqXA-gElg9cDA",
    "https://media.licdn.com/dms/image/v2/D5622AQFU5pxQvHZJyA/feedshare-shrink_800/B56Z5JGdxCIYAc-/0/1779342893133?e=2147483647&v=beta&t=suC1rcuwGcg8nDkj3LJ5s44hBPaaeuy2inwNEFcMNl8"
  ],
  "links": [],
  "hashtags": [
    "GlobalAccessibilityAwarenessDay"
  ],
  "mentions": []
}

Showcase page video with a tagged company (Microsoft for Healthcare)

{
  "company_name": "Microsoft for Healthcare",
  "company_url": "https://www.linkedin.com/showcase/microsoft-health/",
  "company_id": "10065572",
  "company_followers": 59982,
  "post_url": "https://www.linkedin.com/posts/microsoft-health_can-you-move-fast-with-ai-while-staying-fully-activity-7498756217633193984-hvCQ",
  "activity_id": "7498756217633193984",
  "position": 24,
  "author_name": "Microsoft for Healthcare",
  "author_url": "https://www.linkedin.com/showcase/microsoft-health",
  "author_type": "showcase",
  "author_subtitle": "59,982 followers",
  "is_repost": false,
  "text": "Can you move fast with AI while staying fully in control? UCB is proving you can.",
  "posted_ago": "1mo",
  "posted_at": "2026-08-27T15:00:02Z",
  "activity_at": "2026-08-27T15:00:02Z",
  "is_edited": false,
  "reactions_count": 22,
  "comments_count": 1,
  "media_type": "video",
  "image_urls": [],
  "video_url": "https://dms.licdn.com/playlist/vid/v2/D4E10AQFtCj1HWW9jeg/mp4-720p-30fp-crf28/B4EaBCDEsGGwBk-/0/1787814502466?e=2147483647&v=beta&t=FOJC83t7KQ4J8iJUzBbuNTgUBS-wWrZAqUz2fkYpd7c",
  "video_thumbnail_url": "https://media.licdn.com/dms/image/v2/D4E10AQFtCj1HWW9jeg/videocover-high/B4EaBCDEsGGwAo-/0/1787814499859?e=2147483647&v=beta&t=kT2xESZmv-V0KKkEwk_Mj5QAIOGaU-WvAmqorfcYukI",
  "links": [],
  "hashtags": [],
  "mentions": [
    {
      "name": "UCB",
      "url": "https://www.linkedin.com/company/ucb-pharma",
      "type": "company"
    }
  ]
}

Document carousel (NVIDIA)

{
  "company_name": "NVIDIA",
  "company_url": "https://www.linkedin.com/company/nvidia/",
  "company_id": "3608",
  "company_followers": 6709202,
  "post_url": "https://www.linkedin.com/posts/nvidia_nvidia-open-agent-safety-platform-activity-7510331732039086081-HFec",
  "activity_id": "7510331732039086081",
  "position": 9,
  "author_name": "NVIDIA",
  "author_url": "https://www.linkedin.com/company/nvidia",
  "author_type": "company",
  "author_subtitle": "6,709,202 followers",
  "is_repost": false,
  "text": "We’ve launched NVIDIA Open Agent Safety Platform to help people control what AI agents can access and do.\n\nAgents can write code, use tools, and work on complex tasks for hours or days. That work requires access to data and systems, along with clear limits on how they’re used.\n\nNVIDIA OpenShell enforces permissions around the agent’s work. BlueField-4 and DOCA add independent monitoring and security controls in the infrastructure, outside the agent’s reach. Vera CPUs power the work itself.\n\nTogether, these technologies give teams a foundation for putting agents to work with defined permissions, oversight, and protection.\n\nExplore the platform: https://nvda.ws/4hj9PqU",
  "posted_ago": "1w",
  "posted_at": "2026-09-28T13:37:00Z",
  "activity_at": "2026-09-28T13:37:00Z",
  "is_edited": true,
  "reactions_count": 1038,
  "comments_count": 172,
  "media_type": "document",
  "image_urls": [],
  "document_title": "NVIDIA Open Agent Safety Platform",
  "document_pages": 5,
  "document_cover_url": "https://media.licdn.com/dms/image/v2/D4E1FAQHL5DAAwtTyEw/feedshare-document-cover-images_480/B4EaDoOxPCH8BE-/0/1790602582713?e=2147483647&v=beta&t=9VXaKJZsxir_VhkJcdMB1LH00vxjCKV4hG55sw55x9M",
  "links": [
    "https://nvda.ws/4hj9PqU"
  ],
  "hashtags": [],
  "mentions": []
}

Repost of an executive's article (OpenAI)

{
  "company_name": "OpenAI",
  "company_url": "https://www.linkedin.com/company/openai/",
  "company_id": "11130470",
  "company_followers": 11861100,
  "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7498799064680165376/",
  "activity_id": "7498799064680165376",
  "position": 25,
  "author_name": "Greg Brockman",
  "author_url": "https://www.linkedin.com/in/thegdb",
  "author_type": "person",
  "author_subtitle": "President, Chairman, & Co-Founder",
  "is_repost": true,
  "text": "An open letter for a global surge in cyber defense, signed by over 100 organizations including Anthropic, Amazon Web Services (AWS), Google, Microsoft, OpenAI, and Oracle.",
  "posted_ago": "1mo",
  "posted_at": "2026-08-27T17:46:47Z",
  "activity_at": "2026-08-27T17:50:17Z",
  "reposted_at": "2026-08-27T17:50:17Z",
  "is_edited": false,
  "reactions_count": 2781,
  "comments_count": 300,
  "media_type": "article",
  "image_urls": [],
  "article_url": "https://www.linkedin.com/pulse/call-collective-action-cyber-defense-greg-brockman-kdetc",
  "article_title": "A call for collective action on cyber defense",
  "article_subtitle": "Greg Brockman on LinkedIn",
  "links": [
    "https://www.linkedin.com/pulse/call-collective-action-cyber-defense-greg-brockman-kdetc"
  ],
  "hashtags": [],
  "mentions": [
    {
      "name": "Anthropic",
      "url": "https://www.linkedin.com/company/anthropicresearch",
      "type": "company"
    },
    {
      "name": "Amazon Web Services (AWS)",
      "url": "https://www.linkedin.com/company/amazon-web-services",
      "type": "company"
    },
    {
      "name": "Google",
      "url": "https://www.linkedin.com/company/google",
      "type": "company"
    },
    {
      "name": "Microsoft",
      "url": "https://www.linkedin.com/company/microsoft",
      "type": "company"
    },
    {
      "name": "OpenAI",
      "url": "https://www.linkedin.com/company/openai",
      "type": "company"
    },
    {
      "name": "Oracle",
      "url": "https://www.linkedin.com/company/oracle",
      "type": "company"
    }
  ]
}

Pricing

Pay per event: you pay for each post delivered to your dataset, plus a flat $0.005 per run, whatever memory you choose. Nothing else is billed: no proxy add-on, no charge per company page.

Event	Free plan	Bronze (Starter)	Silver (Scale)	Gold (Business) and above
Post delivered, per 1,000 posts	$1.79	$1.49	$1.29	$0.99
Run start, once per run	$0.005	$0.005	$0.005	$0.005

Never charged: company pages that do not exist or that LinkedIn refuses on every attempt, numeric ids and other lines that are not company pages, the same post seen twice, reposts when includeReposts is off, posts older than your postedWithinDays, posts an earlier run already delivered when onlyNewPosts is on, and the information row at the end of a run. A run that delivers nothing costs only the start fee.

To cap a run's cost, set Maximum cost per run in the run options; the actor stops delivering, and charging, when that budget is used.

FAQ

What does this actor read?

LinkedIn company pages as a logged-out visitor sees them: the page at linkedin.com/company/<name>/ and the further pages of its feed that LinkedIn's own page loads when you scroll. It reads public posts only, with no LinkedIn account.

How many posts can I get per company?

Up to 70. A logged-out visitor sees the 10 newest feed items on the page and 6 more pages of 10; LinkedIn refuses the next page. Every company in our proof run gave the full 70. How far back that reaches depends on how often the company posts: 7 weeks for NVIDIA, 3 months for OpenAI, 11 months for Zomato. A company that has posted less returns what it has. If you need a company's complete history, this is not the tool for it, and no logged-out method we know of gets more.

Why is there a minimum of 10 posts?

The company page itself always delivers its 10 newest items in one request, so 10 is the smallest useful read, and it keeps the start fee in proportion to what you receive.

How fresh is the data?

Live. Every run reads the company pages at that moment. Counts are as of the run; a post's reactions keep growing after it is published, so run again (or schedule) to track them.

Do I need a LinkedIn account, cookies or an API key?

No. The actor never logs in and never asks for your cookies or li_at token, so there is no account of yours to restrict. It uses only what LinkedIn serves to any visitor who is not signed in.

Do I need my own proxy?

No. Requests go through Apify's datacenter proxy, a fresh session per company, and that is included in the price. In our proof run 43 of 43 requests were answered. If LinkedIn refuses a page, the actor tries it up to 4 times, on a new session after each refusal, before it reports the company as blocked, uncharged.

Does it include comments or the people who reacted?

No. It returns the exact comment and reaction counts, not the comment texts or the names of people who reacted. Repost counts are not shown to logged-out visitors, so they are not included either.

Are reposts included? How do I tell them apart?

Yes by default. is_repost is true when the company reposted someone else's post, the author fields name the original author, and reposted_at says when the company shared it. Set includeReposts to false to keep only the company's own posts; skipped reposts are not charged.

What happens with a company page that does not exist, or a wrong link?

A page LinkedIn does not have is reported in the run summary as not found and never charged. A line that is not a company page (a personal profile, a school page, a numeric id, a name with spaces) is skipped with a warning that explains why, and the other companies still run.

Can I monitor companies for new posts?

Yes. Schedule the actor in Apify Console (Schedules, then Add schedule) with onlyNewPosts on, and each run returns and charges only posts that no earlier run of yours delivered. Add postedWithinDays to keep runs short.

In what formats can I export the data?

From the dataset: JSON, CSV, Excel, XML, HTML table or RSS, from Console or the API. In CSV and Excel the list fields (image_urls, links, hashtags, mentions) are flattened into columns.

Can I use it from Claude, ChatGPT or another AI assistant?

Yes, through Apify's MCP server.

• Connector URL: https://mcp.apify.com/?tools=themineworks/linkedin-company-posts-scraper
• Claude: Settings > Connectors > Add custom connector, paste the URL, sign in with Apify.
• ChatGPT: turn on developer mode, add an MCP connector with the URL, sign in with Apify.
• Cursor or VS Code: add it as an HTTP MCP server with that URL.
• Claude Code: claude mcp add -t http linkedin-company-posts-scraper "https://mcp.apify.com/?tools=themineworks/linkedin-company-posts-scraper"

Is it legal to scrape LinkedIn company posts?

The actor collects only public posts that LinkedIn shows to anyone who is not logged in, and it does not log in or bypass any login. You are responsible for how you use the data: check LinkedIn's terms for your use case and the data protection laws that apply to you, such as GDPR and CCPA, especially for the names of people who appear as authors or mentions.

Integrations

• Google Sheets: send each run's dataset to a sheet with Apify's Google Sheets integration, one row per post.
• Make, Zapier and n8n: start a run and read its dataset with the Apify apps and nodes, for example to post new company updates to Slack.
• Webhooks: have Apify call your URL when a run finishes, then fetch the dataset.
• API: start runs and read results from any language with the Apify API or the Python and JavaScript clients (see "Copy to your AI assistant" above).
• MCP clients: Claude, ChatGPT, Cursor, VS Code and Claude Code, through the connector URL in the FAQ.

Related actors from us that read LinkedIn without a login: LinkedIn Company Scraper for the company profile itself (industry, size, headquarters, website), LinkedIn Post Scraper to find posts by keyword across all of LinkedIn, and LinkedIn Jobs Scraper for a company's open roles.

More from The Mine Works

LinkedIn

• LinkedIn Company Scraper
• LinkedIn Post Scraper
• LinkedIn Employees Scraper
• LinkedIn Profile Scraper
• LinkedIn Email Finder
• LinkedIn Newsletter Scraper
• LinkedIn Candidate Finder

Social media and video

• Threads Scraper
• Reddit Scraper
• Threads Search Scraper
• Instagram Profile Scraper

Leads and business directories

• B2B Leads Finder
• Skip Trace Lookup
• Google Maps Email Scraper
• 2GIS Places Scraper

Marketing, SEO and reviews

• Facebook Ad Library Scraper
• Google Ads Transparency Scraper
• Similarweb Scraper
• Google News Scraper

Real estate

• Zillow Rentals Scraper
• Zillow Sold Comps Scraper
• India Real Estate MCP
• Housing.com Scraper

Science, health and government data

• Academic Research MCP
• CourtListener Scraper
• Socrata Open Data Scraper
• OpenAlex Scraper

Jobs and hiring

• Foundit Monster India Jobs
• Hirist Jobs Scraper
• India Jobs MCP
• Naukri Jobs Scraper

Company and business data

• Company Domain Finder
• GST Taxpayer Lookup
• Company KYB Resolver
• SEC EDGAR Filings Scraper

E-commerce and marketplaces

• Ozon.ru Scraper
• ⭐ Amazon Reviews Scraper
• Amazon Product Scraper
• Etsy Listings Scraper

Food and local services

• NoBroker Scraper
• Swiggy Restaurant Scraper
• Zomato Scraper

Developer and AI tools

• Website to Markdown Crawler
• GitHub Skill Finder
• GitHub Repo Scraper
• GitHub Trending Scraper

More tools

• G2 Reviews Scraper
• Naver Blog Scraper
• WeChat Article Scraper 微信公众号文章
• Taobao Products Scraper 淘宝 天猫

Support

Found a company page that does not come back right, or a field you need? Open an issue in the Issues tab and include the run link. For new sources or a custom build, email dmineworks@gmail.com.

Recent posts from any LinkedIn company or showcase page, up to 70 each, with exact reaction and comment counts, full text, media and the company's follower count, read logged out and charged only for posts you receive.